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- W3090503404 abstract "We consider the problem of designing a sensor network to most efficiently locate the source of a seismic event. The left panel of Figure 1 shows 982 possible sensor locations in a region of interest. The objective is to infer the unknown location of an earthquake, indicated by the gold dot for illustration purposes. Assume that three sensors have already been placed for data collection. Travel times of the P-wave from the source to the three sensors are observed and used to infer the unknown source location via a Bayesian statistical model described subsequently. The right panel of Figure 1 shows samples from the resulting posterior distribution for source location along with a posterior estimate of this location." @default.
- W3090503404 created "2020-10-08" @default.
- W3090503404 creator A5018798490 @default.
- W3090503404 date "2021-11-07" @default.
- W3090503404 modified "2023-10-03" @default.
- W3090503404 title "Bayesian Optimal Sensor Augmentation Via Estimated Mutual Information" @default.
- W3090503404 doi "https://doi.org/10.2172/1669078" @default.
- W3090503404 hasPublicationYear "2021" @default.
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